Description

Microsoft Certified: Azure Data Engineer Associate certification contain two certifications namely DP-200 & DP-201 respectively.

Candidates for this exam are Azure data engineers who are responsible for data related tasks that include ingesting, egressing, and transforming data from multiple sources using various services and tools. The Azure data engineer collaborates with business stakeholders to identify and meet data requirements while designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure services to satisfy business needs.

Why you need to attend this course?

• Think of a building a career in designing and implementing data related solutions and being part of hottest careers of 21st century.

Objectives

• Learn Azure data services to satisfy business needs
• Design and implement the management, monitoring, security and privacy of data
• Design solutions for scale
• Designing data processing activities
• Design principles of Big Data batch processing & implementation of interactive solutions
• Designing data ingestion patterns from cloud-born or on-premise

Who Should Attend

• Engineers who collaborates with business stakeholders to identify and meet data requirements
• Architects responsible for architecting data analytics solutions on Azure
• Engineers responsible for selecting & implementing Azure data platform solutions for clients
• Those responsible for orchestration of data pipelines, activities in a data-driven architecture

Prerequisites

• Basic knowledge of Azure Cloud platform
• Should have attended DP-200 training by CloudThat Technologies or already certified
• IT industry work experience or those pursuing a degree in the IT field
• Strong learning acumen

Course Outline

Module 1: Data Platform Architecture Considerations

In this module, the students will learn how to design and build secure, scalable and performant solutions in Azure by examining the core principles found in every good architecture. They will learn how using key principles throughout your architecture regardless of technology choice, can help you design, build, and continuously improve your architecture for an organizations benefit.

Lessons:

• Core Principles of Creating Architectures
• Design with Security in Mind
• Performance and Scalability
• Design for availability and recoverability
• Design for efficiency and operations
• Case Study

Hands-On: Case Study

• Design with security in mind
• Consider performance and scalability
• Design for availability and recoverability
• Design for efficiency and operations

Module 2: Azure Batch Processing Reference Architectures

In this module, the student will learn the reference design and architecture patterns for dealing with the batch processing of data. The student will be exposed to dealing with the movement of data from on-premises systems into a cloud data warehouse and how it can be automated. The student will also be exposed to an AI architecture and how the data platform can integrate with an AI solution.

Lessons:

• Lambda architectures from a Batch Mode Perspective
• Design an Enterprise BI solution in Azure
• Automate enterprise BI solutions in Azure
• Architect an Enterprise-grade Conversational Bot in Azure

Hands-On: Architect an Enterprise-grade Conversational Bot in Azure

• Designing an Enterprise BI solution in Azure
• Automate an Enterprise BI solution in Azure
• Automate an Enterprise BI solution in Azure

Module 3: Azure Real-Time Reference Architectures

In this module, the student will learn the reference design and architecture patterns for dealing with streaming data. They will learn how streaming data can be ingested by Event Hubs and Stream Analytics to deliver real-time analysis of data. They will also explore a data science architecture the streams data into Azure Databricks to perform trend analysis. They will finally learn how an Internet of Things (IoT) architecture will require data platform technologies to store data.

Lessons:

• Lambda architectures for a Real-Time Perspective
• Architect a stream processing pipeline with Azure Stream Analytics
• Design a stream processing pipeline with Azure Databricks
• Create an Azure IoT reference architecture

Hands-On: Azure Real-Time Reference Architectures

• Architect a stream processing pipeline with Azure Stream Analytics
• Design a stream processing pipeline with Azure Databricks
• Create an Azure IoT reference architecture

Module 4: Data Platform Security Design Considerations

In this module, the student will learn how to incorporate security into an architecture design and learn the key decision points in Azure provides to help you create a secure environment through all the layers of your architecture.

Lessons:

• Defense in Depth Security Approach
• Identity Management
• Infrastructure Protection
• Encryption Usage
• Network Level Protection
• Application Security

Hands-On: Data Platform Security Design Considerations

• Defense in Depth Security Approach
• Identity Protection

Module 5: Designing for Resiliency and Scale

In this module, student will learn scaling services to handle load. They will learn how identifying network bottlenecks and optimizing your storage performance are important to ensure your users have the best experience. They will also learn how to handle infrastructure and service failure, recover from the loss of data, and recover from a disaster by designing availability and recoverability into your architecture.

Lessons:

• Adjust Workload Capacity by Scaling
• Optimize Network Performance
• Design for Optimized Storage and Database Performance
• Identifying Performance Bottlenecks
• Design a Highly Available Solution
• Incorporate Disaster Recovery into Architectures
• Design Backup and Restore strategies

Hands-On: Designing for Resiliency and Scale

• Adjust Workload Capacity by Scaling
• Design for Optimized Storage and Database Performance
• Design a Highly Available Solution
• Incorporate Disaster Recovery into Architectures

Module 6: Design for Efficiency and Operations

In this module, students will learn how to design an Azure architecture that is operationally-efficient and minimizes costs by reducing spend, they will understand how to design architectures that eliminates waste and gives them full visibility into what is being utilized in your organizations Azure environment.

Lessons:

• Maximizing the Efficiency of your Cloud Environment
• Use Monitoring and Analytics to Gain Operational Insights
• Use Automation to Reduce Effort and Error

Hands-On: Design for Efficiency and Operations

• Maximize the Efficiency of your Cloud Environment
• Use Monitoring and Analytics to Gain Operational Insights
• Use Automation to Reduce Effort and Error

About The Trainer

A Microsoft Certified Trainer

Other Details

 Questions?

For latest batch dates, fees, location, technical queries and general inquiries, contact our sales team at: +91 8880002200 or email at sales@cloudthat.in